Broadcast Beat Magazine 2018 NAB Show Edition - Page 90

and for MAM providers AI is a game changer. AI boosts the efficiency of computers by analyzing audi- ence demands, managing data and filtering content for spe- cific themes, all of which is very appealing to broadcasters. It also supports the creation of more, original and personalized content for increased viewer and fan engagement, reduces production costs and shortens the path toward monetization. Industry leaders will recognize that AI and machine learning can be leveraged to extend the reach of their products. A series of different applications are about to be introduced that will focus on specific functions, but most will fall into the categories of increased metadata genera- tion and its application, media augmentation and annotation, or machine learning applied to workflow operations to further automation. Companies such as Amazon, Facebook and Twitter, new comers to the digital media economy, have triggered an increase in sports rights costs and posed a new challenge for broadcasters who need to reduce their production costs to maintain their profitability. So how do media companies add value for their customers and ensure that AI is a genu- ine solution? The answer is an investment in technology that efficiently automates common, repetitive tasks. Automation tools that leverage AI will help production teams produce more and personalized content that allows media companies to gain fans, viewer engagement and increased revenues. Sport production is demand- ing, it’s all about live content and speed, and is the perfect illustration how AI combined with MAM can help media com- panies face today’s challenges. Assembling sports highlights is a prime example, broadcasters can automatically pre-configure events in the MAM to drasti- cally reduce preparation time and avoid human errors. The question is, how do MAM pro- viders create sophisticated AI options for broadcasters and ΅•‘₯„½΅Α…Ή₯•ΜΡ‘…Ё•Ή…‰±”)Ρ‘•Ν”•™™₯₯•Ή₯•ΜόΈ$Α½ά΄)•Ι•΅•Ρ…‘…Ρ„•Ή₯Ή”ΡΌ™Υ±±δ)…ΥΡ½΅…Ρ”₯Έ΅…΅”ΑΙ½‘ՍΡ₯½Έ)₯́­•δΈ)ΥΙ₯ΉœΡ‘”±₯Ω”…΅”°Ρ‘”ΑΙΌ΄(δΐƒŠˆ Ι½…‘…ΝЁ •…Ё5……ι₯Ή”ƒŠˆέέάΉ‰Ι½…‘…ΝΡ‰•…ΠΉ½΄)Ι…΄™••₯́Α…ΝΝ•Ρ‘ɽ՝ )„½΅ΑΥѕȁΩ₯Ν₯½Έ$•Ή₯Ή”)…Ή„ΝΑ•• ΅ΡΌ΅Ρ•αЁ$•Ή₯Ή”°)έ‘₯ ΑΙ½Ω₯‘”…‘‘₯Ρ₯½Ή…°΅•Ρ„΄)‘…Ρ„…Ή½ΉΡ•αΡΥ…°₯Ή™½Ι΅„΄)Ρ₯½Έ…‰½ΥЁё”…΅”ΡΌ…Υœ΄)΅•ΉΠ΅•‘₯„±½ΜΈ) ½΅‰₯Ή•°Ρ‘•Ν”‘₯™™•Ι•ΉΠΡ• ΄)Ή½±½₯•Μ•Ή…‰±”…ΥΡ½΅…Ρ₯Œ±½œ΄)₯Ήœ½˜„±₯Ω”•Ω•ΉΠ°…Ή•Έ΄)•Ι…Ρ₯½Έ½˜•Ω•ΉΠ±½Μ‘ΥΙ₯Ήœ)Ρ‘”…΅”ΈQ‘₯́ΝΥΑΑ½ΙΡ́Q₯•ΘΘ)™•‘•Ι…Ρ₯½ΉΜ½ΘΝ΅…±±•Θ‰Ι½…΄)…ΝΡ•ΙΜ°…Ή±Υ‰Μέ‘Ό‘ΌΉ½Π)‘…Ω”™ΥΉ‘́Ѽ‰ΥδΡ‘”Ν•ΙΩ₯”½˜)…Έ•αΡ•ΙΉ…°‘…Ρ„ΑΙ½Ω₯‘•ΘΈ%Ё…±ΝΌ)…±±½έ́½΅Α…Ή₯•ΜΝΡ₯±°΅…ΉΥ…±±δ)±½₯ΉœΡ‘”…΅”ΡΌ½ΑΡ₯΅₯ι”)Ρ‘•₯ȁɕͽΥɍ•ΜΈ)$έ₯±°…±ΝΌ…ΝΝ₯ΝЁ₯Έ…ΥΡ½΅…Ρ₯Œ)½ΉΡ•ΉΠΡ…₯Ήœ°έ‘₯ ₯́ΡΙ„΄)‘₯Ρ₯½Ή…±±δ„±…‰½Θ‘•…Ω䁅Ή)•αΑ•ΉΝ₯Ω”ΑΙ½•ΝΜΈΉ‘…Ή•)54M•…ɍ …Α…‰₯±₯Ρ䁽Α•ΉΜ)Ρ‘”‘½½ΘΡΌ΅½Ι”½ΉΡ•ΉΠΙ”΄)…Ρ₯½ΈΡ‘ɽ՝ Ρ‘”ΥΝ”½˜‘₯ΝΡ½Ι€΄)…°…ɍ‘₯Ω”΅…Ρ•Ι₯…°ΡΌ•Ή‘…Ή”)±₯Ω”‰Ι½…‘…ΝΡΜ°Ρ‘•Ι•‰δ₯ΉΙ•…Μ΄)₯Ήœ΅½Ή•Ρ₯ι…Ρ₯½Έ½ΑΑ½ΙΡΥΉ₯Ρ₯•ΜΈ)Q½•Ρ‘•Θ°Ρ‘•Ν”Ρ•‘Ή½±½₯•Μ)•Ή…‰±”…ΥΡ½΅…Ρ₯Œ‘₯‘±₯‘ΡΜ)Ι•…Ρ₯½Έέ₯Ρ Ρ‘”‰•ΝЁ%8…Ή)=UPΑ½₯ΉΠ…±Υ±…Ρ•‰δΡ‘”)$•Ή₯Ή•ΜΈ ±₯Ά…Ή1́…Ι”)…ΥΡ½΅…Ρ₯…±±δΙ•…Ρ•…Ή…ΥΡΌ΄)΅…Ρ₯…±±δΑΥ‰±₯Ν‘•ΡΌΝ½₯…°)Ή•Ρέ½Ι­Μ°•™™₯₯•ΉΡ±δ₯ΉΙ•…Ν₯Ήœ)Ρ‘”…΅½ΥΉΠ½˜½ΉΡ•ΉΠΙ•…Ρ•)έ₯Ρ Ρ‘”Ν…΅”ΝΡ…™˜ΈQ₯‘Ρ±δ)₯ΉΡ•Ι…Ρ•έ₯Ρ $Ρ½½±Μ°…Έ)…‘Ω…Ή•54…Έ…ΥΡ½΅…Ρ€΄)…±±δ•Ή•Ι…Ρ”…Έ₯ΉΙ•…Ν•)ΉΥ΅‰•Θ½˜‘₯‘±₯‘Ё±₯Ά‘ΥΘ΄)₯Ήœ½Θ…™Ρ•Θ…Έ•Ω•ΉΠ…Ή‘•±₯Ω•Θ)Ρ‘₯́…‘Ω…Ή•ΝΡ½Ιδ΅Ρ•±±₯ΉœΡΌ„)Ω•ΙδΡ…ɝ•Ρ•…Υ‘₯•Ή”₯ΉΙ•…Μ΄)₯ΉœΡ‘”Α½Ρ•ΉΡ₯…°™½ΘΝ₯Ή₯™₯…ΉΠ)Ι½έΡ ₯Έ™…Έ•Ή…•΅•ΉΠέ‘₯±”)Ι•‘Ս₯ΉœΑΙ½‘ՍΡ₯½Έ½ΝΡΜ